Application of adaptive neuro-fuzzy inference system for numerical interpretation of soil torsional shear test results

New hybrid evolutionary models for spatial prediction of soil properties in Kurdistan

“…However, the ANFIS model has been successfully applied for predicting the compression coefficient of soil (Pham et al, 2019), soil clay minerals (Najafi-Ghiri et al, 2019) and soil torsional shear (Srokosz & Bagińska, 2020) in previous research. These researches also confirmed that using the combination of fuzzy-based tools and evolutionary models can perform efficiently for spatial prediction.…”

“…In recent decades, various machine-learning (ML) models have been applied to DSM including random forests (RF), artificial neural networks (ANN), support vector machines (SVM) and decision trees (DT). The adaptive neuro-fuzzy inference system (ANFIS) model is a ML model that has been recently applied to evaluate and predict soil properties (Dahmardeh et al, 2017;Moayedi et al, 2020;Najafi-Ghiri et al, 2019;Pham et al, 2019;Srokosz & Bagińska, 2020;Taşan & Demir, 2020), because of its numerous merits, including the good compatibility, creation of nonlinear structures, no need for specialized knowledge and its rapid learning capacity (Şahin & Erol, 2018). This method has a good ability to combine information from multiple sources (Sambariya & Prasad, 2014) which otherwise can be difficult, time-consuming and costly.…”